from model import Model
from pySAXS.LS.LSsca import Qlogspace
from pySAXS.LS.LSsca import *
import numpy
[docs]class MonoEllipse(Model):
'''
Mono Ellipse
by OT 10/06/2009
'''
[docs] def MonoEllipseFunction(self,q,par):
"""
q array of q (A-1)
par[0] Semi major axis(A)
par[1] Eccentricity
par[2] concentration of sphere (cm-3)
par[3] scattering length density of sphere (cm-2)
par[4] scattering length density of outside (cm-2)
"""
R=par[0]
ec=par[1]
return par[2]*(1.e-48)*(( numpy.pi*(4./3.)*(ec*par[0]**3.) )**2.)*((par[3]-par[4])**2.)*P5(q,R,e)
'''
parameters definition
Model(3,MonoEllipse,
Qlogspace(1e-4,1.,500.)
,([100.,0.5,1.5e14,2e11,1e10])
,("Semi major axis (A)"
," Eccentricity","Number density",
"Scattering length density of ellipse (cm-2)"
,"scattering length density of medium (cm-2)")
,("%f","%f","%1.3e","%1.3e","%1.3e"),(True,True,True,False,False)),
from LSsca
'''
IntensityFunc=MonoEllipseFunction #function
N=0
q=Qlogspace(1e-4,1.,500.) #q range(x scale)
Arg=[100.,0.5,9.8e11,9.8e10,1e10] #list of defaults parameters
Format=["%f","%f","%1.3e","%1.3e","%1.3e"] #list of c format
istofit=[True,True,True,False,False] #list of boolean for fitting
name="Mono Ellipse" #name of the model
Doc=["Semi major axis (A)",\
" Eccentricity","Number density",\
"Scattering length density of ellipse (cm-2)"\
,"scattering length density of medium (cm-2)"] #list of description for parameters
if __name__=="__main__":
'''
test code
'''
modl=MonoEllipse()
#plot the model
import Gnuplot
gp=Gnuplot.Gnuplot()
gp("set logscale xy")
c=Gnuplot.Data(modl.q,modl.getIntensity(),with_='points')
gp.plot(c)
raw_input("enter")
#plot and fit the noisy model
yn=modl.getNoisy(0.4)
cn=Gnuplot.Data(modl.q,yn,with_='points')
res=modl.fit(yn)
cf=Gnuplot.Data(modl.q,modl.IntensityFunc(modl.q,res),with_='lines')
gp.plot(c,cn,cf)
raw_input("enter")
#plot and fit the noisy model with fitBounds
bounds=modl.getBoundsFromParam() #[250.0,2e11,1e10,1.5e15]
res2=modl.fitBounds(yn,bounds)
print res2
raw_input("enter")